Triple

T7780177
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Margulis E221493 entity
Predicate spouse P13 FINISHED
Object James R. Margulis
James R. Margulis is the husband of author and journalist Jennifer Margulis.
E790101 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: James R. Margulis | Statement: [Jennifer Margulis, spouse, James R. Margulis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James R. Margulis
Context triple: [Jennifer Margulis, spouse, James R. Margulis]
  • A. Thomas N. Margulis
    Thomas N. Margulis is known primarily as the former husband of renowned evolutionary biologist Lynn Margulis.
  • B. Robert N. Fitch
    Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
  • C. Donald R. Seawell
    Donald R. Seawell was an American attorney, theatrical producer, and arts patron best known for his influential role in developing Denver’s cultural landscape.
  • D. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • E. Robert M. Weitman
    Robert M. Weitman was an American film producer active in mid-20th-century Hollywood, known for overseeing a range of studio features and genre films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: James R. Margulis
Triple: [Jennifer Margulis, spouse, James R. Margulis]
Generated description
James R. Margulis is the husband of author and journalist Jennifer Margulis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James R. Margulis
Target entity description: James R. Margulis is the husband of author and journalist Jennifer Margulis.
  • A. Thomas N. Margulis
    Thomas N. Margulis is known primarily as the former husband of renowned evolutionary biologist Lynn Margulis.
  • B. Robert N. Fitch
    Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
  • C. Donald R. Seawell
    Donald R. Seawell was an American attorney, theatrical producer, and arts patron best known for his influential role in developing Denver’s cultural landscape.
  • D. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • E. Robert M. Weitman
    Robert M. Weitman was an American film producer active in mid-20th-century Hollywood, known for overseeing a range of studio features and genre films.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69caa4d6cf9881909f5220437db13cc7 completed March 30, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0b12e42e48190b62b772d150117f2 completed April 4, 2026, 6:35 a.m.
NEDg Description generation batch_69d0b2b9fbf4819083e594d676323c65 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b343a040819098620e2e3c451b39 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 4:20 p.m.